Bacillus clausii UBBC-07 in the symptom management of upper respiratory tract infections in children: a double blind, placebo-controlled randomised study

In children, upper respiratory tract infections (URTIs) are one of the most common causes of infections which often require outpatient consultations with the doctor. The purpose of this study was to evaluate the effect of probiotic Bacillus clausii UBBC-07 on symptom management of URTIs in children. In this double blind, randomised, placebo-controlled study, 90 children (age 4-7 years) with URTIs were equally divided into two groups, the probiotic and placebo. The children were instructed to take B. clausii UBBC-07 spores (2×109 per 5 ml vial) or placebo suspension daily twice for three months. The total duration of the study was 6 months, 3 months treatment and 3 months follow-up period. The parameters assessed were the mean number of URTIs, duration and severity of URTIs, absenteeism from school/childcare and immunity parameters, such as immunoglobulin (Ig)M, IgG, IgE and salivary IgA levels. At the end of treatment, there was a significant decrease in the number, duration and severity of URTIs in the probiotic treated group as compared to the baseline and placebo. IgE levels were significantly decreased and salivary IgA levels were significantly increased in the probiotic treated group suggesting probiotic mediated Th1/Th2 immune homeostasis to alleviate URTIs in children. In conclusion, B. clausii UBBC-07 may help in the reduction of symptoms of URTIs. The trial was registered prospectively with the Clinical Trial Registry of India (CTRI Reg. No: CTRI/2018/08/015282).

Identification and differential expression of serotransferrin and apolipoprotein A-I in the plasma of HIV-1 patients treated with first-line antiretroviral therapy

Background

Plasma proteins are known to interfere the drug metabolism during therapy. As limited information is available regarding the role of plasma proteins in HIV drug resistance during ART in HIV/AIDS patients, the present study aimed to identify and characterize the differentially expressed plasma proteins in the drug resistant and drug respondent groups of HIV-1 infected patients with > 6 years of first line ART.

Methods

Four-drug resistant (treatment failure) and four-drug respondent (treatment responder) patients were selected for plasma proteomic analysis based on viral load and drug resistance associated mutations from a cohort study designed on the first line ART patients who were enrolled in the antiretroviral therapy center, Sarojini Naidu Medical College, Agra, India from December 2009 to November 2016.

After depleting high abundant proteins, plasma proteins were resolved using two-dimensional gel electrophoresis on IPG strips, pH range of 3–10. Spots were selected in the gel based on the density of staining which was common in the drug resistant and drug respondent groups separately. The fold change of each spot was calculated using image-J. Each protein spot was identified using the matrix assisted laser desorption/ionization-time of flight/time of flight (MALDI-TOF/TOF) after tryptic digestion. Peptide peaks were identified through flex analysis version 3.3, and a search against a protein data base using the internal Mascot. Gene ontology study was completed through STRING v.11 and Panther15.0.

Results

Out of eight spots from 2D gel samples analyzed by MALDITOF/TOF, two proteins were found to have significant score (> 56) after Flex analysis. These two proteins were identified to be apolipoprotein A1 and serotransferrin. The fold change expression of these two proteins were analyzed in drug resistant and drug respondent group. Apolipoprotein-A1 and serotransferrin were observed to be expressed 1.76 and 1.13-fold more respectively in drug respondent group compared to drug resistant group. The gene ontology analysis revealed the involvement of these two proteins in various important physiological processes.

Conclusion

Apolipoprotein A-I and serotransferrin were found to be expressed more in drug respondent group compared to drug resistant group.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-020-05610-6.

CDC27 protein is involved in radiation response in squamous cell cervix carcinoma

In the present study, an attempt was made to identify genes involved in radiation response in cervix carcinoma. Differential display technique was used to study the expression profiles of tumour biopsy samples obtained from patients, responding and not responding to treatment. The samples were obtained prior to radiotherapy and subsequent to treatment with Tele-radiation at 10 Gray (Gy). One of the differentially expressed cDNAs, when sequenced was identified to be CDC27. Immuno-histochemical analysis of pre- and post-treated tumour samples from fifteen patients showed the downregulation of expression of CDC27 protein in seven patients. Down-regulation was associated with poorer response to radiotherapy. Cervical cancer cell lines SiHa and C33A were irradiated and their nuclei were stained for expression of CDC27 and analyzed using fluorescent-activated cell sorting (FACS). Down-regulation of CDC27 protein in the irradiated SiHa cell line was associated with greater survival fraction, compared to the irradiated C33A cell line, which had only slight fall in the level of CDC27 protein. This is the first study to suggest a role for CDC27 in radiation response. However, a larger cohort is needed to further confirm the value of CDC27 protein as a predictive marker, for radiation response in cervix cancer.

Summarizing data through a piecewise linear growth curve model

Most of the research in clinical trials is based on longitudinal designs, which involve repeated measurements of a variable of interest. Such designs are very powerful, both statistically and scientifically. Recent advances in statistical theory and software development incorporate the covariance structures such as unstructured, compound symmetry, auto-regressive and random effects, etc., for analysing longitudinal data. Hathaway et al. propose a technique for summarizing longitudinal data using linear growth curve model and establish that the number of summary statistics is fixed as four irrespective of the length of study. In this paper, we develop a procedure for analysing the longitudinal data through a piecewise linear growth curve model on the lines of Hathaway et al. Under different covariance structures, the linear model is fitted for Leprosy data and the residual sum of squares computed. Goodness of fit has also been considered for various models. In order to prove that the proposed method is robust and better than the others in terms of goodness of fit, simulation studies are carried out and the results presented.

Variant of mitochondrial ribosomal protein s28 (mrps28) gene is differentially expressed in response to radiation in a cervical carcinoma derived cell line

Gene expression before and after radiation treatment (10 Gy) in a cervical carcinoma derived cell line SiHa was studied. Differential display performed on non-irradiated and irradiated cells (10 Gy) using a combination of 3 anchor primers and 16 arbitrary primers yielded 20 differentially expressed fragments. Differential expression of one of the fragments differentially expressed in the irradiated sample was also confirmed in Northern blots. Cloning and sequencing of the fragment revealed it to be similar to a splice variant of the MRPS28 gene. Reverse transcriptase polymerase chain reaction (RT-PCR) was performed using primers designed to amplify the splice variant and confirmed the expression. In conclusion, the study shows that the splice variant kDec03 of the MRPS28 gene is differentially expressed in response to radiation in SiHa cells.

Pattern recognition technique in immunological antigenic tests to identify Mycobacterium tuberculosis infection

The importance of a diagnostic test that is simple and quick to identify Mycobacterium tuberculosis infection needs no emphasis. The tuberculin skin test (TST - 1 TU RT23) is the diagnostic tool for identifying M. tuberculosis infection at present. The test reaction on the skin is measured after 48-72 h. It is observed that often multi-modes are seen, when the reactions are drawn as a graph and the bimodality is seen very feebly. Because of the difficulties in the administration of TST, several serological tests were developed over three decades, but none of the studies showed the desired results. One study to evaluate purified protein derivative (PPD) antigen resulted in a claim of 80% sensitivity and 4% false-positivity rate (14), while other researchers were not able to obtain similar results. In addition, several problems were encountered due to the non-availability of antigens, and data analyses from an ELISA-based diagnostic test showed considerable overlap of distributions of optical density (OD) values among patients and healthy individuals (10). Classical statistical techniques cannot explain the cause of these overlaps. Hence, an attempt is made in this article to resolve these difficulties by the pattern recognition technique (PRT). The technique lies in splitting the data into clusters using a supervised algorithm. The data set is normally split into a training set, a test set and a validation set. The PRT gets "trained" through the training data set until the infected and uninfected groups of individuals are correctly classified. The training occurs based on an algorithm on the training set. On successful completion of the training, this technique is further tested and validated in the respective data sets.

SETTING

A total of 273 finger-prick specimens were collected from five categories (Al, A2, B, C, D, E) of subjects not vaccinated with (bacille Calmette Guerin) (BCG) from Trivellore BCG Trial area adopted by the Tuberculosis Research Center, Chennai, India.

OBJECTIVE

The study was conducted with the primary aim of evaluating purified antigens--r38 kDa, PPD and 30 kDa--for their usefulness as diagnostic tools and to test the applicability of the PRT in the evaluation of diagnostic tests. Individuals in two main categories (definitely not infected categories Al, A2 and D, and definitely infected categories B, E and C based on reaction to TST) were assembled for the purpose.

RESULTS

The overall PRT performance of 30 kDa was 72.3% sensitivity and 90.9% specificity for identifying M. tuberculosis infection, while the r38 kDa antigen recorded a sensitivity of 73.8% and a specificity of 84.6%. In the case of PPD, the results were not promising.

CONCLUSION

This paper on ELISA-based diagnostic tests attempts to implement an optimal decision support system through PRT that would identify the outcome (as infected or non-infected) based on the OD values. The PRT was able to predict the outcome for individual suspects. Further, Kullback-Leibler distance measurement has validated the PRT in distinguishing infected individuals from healthy subjects (based on the OD values).

Analysis of reliable broadcast in local-area networks

The performance characteristics of a reliable broadcast protocol in a local-area network environment are analyzed. This protocol involves a source broadcasting a message to all destinations and collecting replies from these destinations. Reliability is achieved by using Send-and-Wait protocols for transmitting broadcast and reply messages. A queueing model is developed and results on the throughput and delay of the broadcast operation are obtained by approximate analysis. Numerical results showing the effect of model parameters on throughput are provided.